Caroline Hey Bækgaard, Emilie Boye Lester, Steffen Møller-Larsen, Mathilde Faurholdt Lauridsen, Martin Jakob Larsen
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引用次数: 0
摘要
导言牛津纳米孔技术(Oxford Nanopore Technology)等长读取全基因组测序技术正越来越多地应用于临床。纳米孔能同时检测序列变异和 DNA 修饰(包括 5-甲基胞嘧啶),因此是一种很有前途的技术,可用于改善印记疾病的诊断。结果和结论NanoImprint可输出一个汇总表和可视化图,显示所有区域的甲基化频率(%)和染色体位置,两个等位基因的相位数据用颜色编码。我们利用贝克维-维德曼综合征(BWS)、安吉尔曼综合征(AS)和普拉德-威利综合征(PWS)患者的三个印记紊乱样本展示了 NanoImprint 的实用性。NanoImprint脚本可从https://github.com/carolinehey/NanoImprint。
NanoImprint: A DNA methylation tool for clinical interpretation and diagnosis of common imprinting disorders using nanopore long-read sequencing
Introduction
Long-read whole genome sequencing like Oxford Nanopore Technology, is increasingly being introduced in clinical settings. With its ability to simultaneously call sequence variation and DNA modifications including 5-methylcytosine, nanopore is a promising technology to improve diagnostics of imprinting disorders.
Methods
Currently, no tools to analyze DNA methylation patterns at known clinically relevant imprinted regions are available. Here we present NanoImprint, which generates an easily interpretable report, based on long-read nanopore sequencing, to use for identifying clinical relevant abnormalities in methylation levels at 14 imprinted regions and diagnosis of common imprinting disorders.
Results and conclusion
NanoImprint outputs a summarizing table and visualization plots displays methylation frequency (%) and chromosomal positions for all regions, with phased data color-coded for the two alleles. We demonstrate the utility of NanoImprint using three imprinting disorder samples from patients with Beckwith-Wiedemann syndrome (BWS), Angelman syndrome (AS) and Prader-Willi syndrome (PWS). NanoImprint script is available from https://github.com/carolinehey/NanoImprint.
期刊介绍:
Annals of Human Genetics publishes material directly concerned with human genetics or the application of scientific principles and techniques to any aspect of human inheritance. Papers that describe work on other species that may be relevant to human genetics will also be considered. Mathematical models should include examples of application to data where possible.
Authors are welcome to submit Supporting Information, such as data sets or additional figures or tables, that will not be published in the print edition of the journal, but which will be viewable via the online edition and stored on the website.